Llysdinam Field Centre, University of Wales College of Cardiff, U.K.; Department of Architecture and Landscape, Manchester Polytechnic, Manchester, U.K.
Eur J Protistol. 1990 Oct 19;26(2):117-21. doi: 10.1016/S0932-4739(11)80105-7. Epub 2011 Nov 2.
Techniques of multivariate data analysis are applied to the data set of Smith and Wilkinson on the distribution of the protozoan testate amoebae genus Nebela in the southern temperate and Antarctic zones. The aim was to demonstrate the potential of these techniques in protozoan studies and also to investigate the extent to which the multivariate and previously used simple inspection approaches produced similar results. The results are mainly consistent with the original analysis and suggest a major role for climate (characterized by mean January temperature) in controling species richness. It is suggested that the methods of simple inspection and multivariate analysis are complementary.
多元数据分析技术被应用于 Smith 和 Wilkinson 关于南方温带和南极地区原生动物有壳变形虫属 Nebela 分布的数据集。目的是展示这些技术在原生动物研究中的潜力，并研究多元分析和之前使用的简单观察方法产生相似结果的程度。结果主要与原始分析一致，并表明气候（以 1 月平均温度为特征）在控制物种丰富度方面起着重要作用。有人认为，简单检查和多元分析的方法是互补的。
